Maya-Viveka: Viveka-Gated Synaptic Discrimination for Class-Incremental Learning in Affective Spiking Neural Networks

Maya-Viveka extends the Maya affective SNN architecture to Class-Incremental Learning on Split-CIFAR-100 (10 tasks, 10 classes each, 100 total classes) through the introduction of Viveka (विवेक) — discernment — as a sixth affective dimension. Viveka is a cross-task synaptic consistency tracker, inspired by the GANE (Gain-Amplified Neural Encoding) norepinephrine model, that modulates Vairagya protection strength based on per-synapse representational stability across task boundaries. Synapses encoding features consistently activated across multiple tasks receive elevated Vairagya protection; synapses encoding task-specific transient activations receive standard protection. A six-condition ablation study…